Jun Goo Kwak
About Jun Goo Kwak
Jun Goo Kwak is an Equity Research Associate at Piper Sandler, where he has worked since 2024. He holds a Bachelor of Science in Chemical Engineering and a PhD in Molecular and Cellular Biology from the University of Massachusetts Amherst.
Work at Piper Sandler
Jun Goo Kwak currently serves as an Equity Research Associate at Piper Sandler, a position he has held since 2024. In this role, he is involved in analyzing market trends and providing insights to support investment decisions. Prior to this, he worked as an Equity Research Intern at Piper Sandler from 2023 to 2024, where he gained valuable experience in equity analysis and research methodologies.
Education and Expertise
Jun Goo Kwak earned a Bachelor of Science in Chemical Engineering from the University of Massachusetts Amherst, completing his studies from 2015 to 2019. He furthered his education at the same institution, obtaining a Doctor of Philosophy in Molecular and Cellular Biology from 2019 to 2024. This educational background equips him with a strong foundation in both engineering principles and biological sciences, contributing to his analytical skills in equity research.
Background
Jun Goo Kwak has a diverse academic and professional background. He began his research career at the University of Massachusetts Amherst, where he worked as an Undergraduate Research Assistant from 2015 to 2019. He continued his research endeavors as a Graduate Research Assistant from 2019 to 2024, accumulating five years of experience in research roles before transitioning to the finance sector.
Research Experience
During his time at the University of Massachusetts Amherst, Jun Goo Kwak gained significant research experience. As an Undergraduate Research Assistant, he contributed to various projects from 2015 to 2019. He then advanced to the role of Graduate Research Assistant, where he engaged in more complex research activities from 2019 to 2024. This experience has provided him with a solid understanding of research methodologies and data analysis.